Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism

• Published in: PloS one Vol. 18; no. 11; p. e0294174
• Main Authors: Wu, Jiawei, Ren, Peng, Song, Boming, Zhang, Ran, Zhao, Chen, Zhang, Xiao
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 17.11.2023; Public Library of Science (PLoS)
• Subjects: Accuracy; Algorithms; Artificial intelligence; Artificial neural networks; Automation; Cameras; Classification; Computer applications; Data collection; Data entry; Deep learning; Evaluation; Experiments; Forecasts and trends; Gesture recognition; Gloves; Long short-term memory; Medical research; Neural networks; Occlusion; Semantics; Sensors; Sign language; Temporal variations; User needs; Virtual reality; Wavelet transforms; Wearable computers; China

As a novel form of human machine interaction (HMI), hand gesture recognition (HGR) has garnered extensive attention and research. The majority of HGR studies are based on visual systems, inevitably encountering challenges such as depth and occlusion. On the contrary, data gloves can facilitate data...